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Open Academic Positions

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RESEARCH ASSOCIATE IN ATMOSPHERIC SCIENCES

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Application deadline
Area of study
Environmental Science & Engineering
Description

Applications are invited for a Research Associate to work with Professor Steven Wofsy on developing and applying high resolution models to explore ecosystems response to climate change.  A PhD in Environmental Chemistry and prior postdoctoral experience are required.

The successful candidate will work as part of team performing research to support the project “Collaborative Research: Bridging the scale gap between local and regional methane and carbon dioxide isotopic fluxes in the Arctic”.  Additional responsibilities include preparation of publications and reports and collaboration with other groups. The successful candidate will be self-motivated, have a strong work ethic, be technically skilled and have excellent oral and written skills.

How to Apply

To apply, please send a CV, research statement, and the names and contact information of two people who can be asked for letters of reference to tetyana_donnelli@harvard.edu with the subject header titled "Research Associate Position".

Posted

Fellow in Industrial Design

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Description

The Harvard University Assistive Technology Initiative (ATI) and the Social Technology for Global Aging Research Initiative seek a talented and creative Fellow to contribute to ethnographic research on challenges faced by the elderly as part of a collaboration between US and Chinese research teams. The individual will support ongoing research and translational efforts and interact with other researchers as well as external collaborators and stakeholders. Working closely with faculty, staff and other research team members, the candidate is specifically expected to interact with potential end-users of technologies, such as elderly individuals, their families and caregivers and identify unmet clinical needs that may be used to motivate technology development. Develop an understanding of the functional requirements of various solution embodiments through focus groups, literature reviews, discussions with all relevant stakeholders. Document findings and in collaboration with other researchers, staff and faculty develop and test engineering concepts against identified user needs. Provide design input, contribute to material selection for soft goods, perform iterative fabrication for wearable and virtual prototypes in multiple mediums including textiles with a focus on proof-of-concept prototypes. Create technical drawings / sketches / graphics and representations of concept designs such that construction information and strategic concepts can be reviewed by other team members and used for reports, presentations, and internal team meetings. Collaborate with team to test prototypes for functionality and usability with target audiences, collect and document feedback, and identify necessary metrics to measure and optimize various system parameters against functional requirements.

This position is for one year with the possibility of renewal for a second year.

 

How to Apply

Applicants should have Bachelor and MS degrees in Industrial Design or related discipline.

At least three years of relevant post undergraduate degree experience with interacting with end-users to clearly identify design opportunities, human factors studies, ethnographic research, making multi-dimensional design tradeoffs, creating sketches of design concepts during ideation, creating sketch models to show to end-users and team members. The ideal candidate will have the following additional qualifications: The ability to work well in a multi-disciplinary team environment. Strong interpersonal and communication skills. Excellent time management and attention to detail. Ability to work on-site in Boston, MA for one year with the possibility of extending based on performance. Ability and interest in travel to China as part of research collaboration. Experience with wearable devices is preferred, but not required. Strong 2D (sketching) and 3D (model making, prototyping) visualization skills. Ability to work at all levels to accomplish team goals.

Please submit an updated CV and a cover letter detailing research interests and links to any relevant prior work, as well as the names and contact information for up to three references. Applicants can apply online at https://academicpositions.harvard.edu/postings/10150.

We encourage candidates to apply by March 19, 2021 but will continue to review applications until the position is filled.

We strongly encourage applications from members of underrepresented groups.

Posted

Lecturer in Mechanical Engineering Design

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Application deadline
Area of study
Materials Science & Mechanical Engineering
Description

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for the position of Lecturer in Mechanical Engineering Design for the 2021-2022 academic year. The position is an annual (twelve-month) academic appointment with an expected start date of July 1, 2021. The position is for three years, with the second two years contingent on a satisfactory performance review during the first year.

We invite applications from individuals with broad experience and expertise in mechanical design.

Typical responsibilities include:

  • • Teaching or co-teaching the introductory mechanical engineering undergraduate course, Engineering Sciences 51: Computer Aided Machine Design, each semester
  • • As needed, serve as a section leader for the senior undergraduate engineering capstone design course, Engineering Sciences 100hf: Engineering Design Projects, each semester
  • • Participate in curricular planning discussions with other faculty and staff as it applies to engineering design education and hands-on, project-based courses
  • • Advise students on mechanical design projects, including those that may involve student organizations, student summer/winter break design experiences, etc.
  • • Hold office hours and work one-on-one with undergraduate students

Candidates are required to have a Ph.D. degree in Mechanical Engineering or a related field by the expected start date, should have proven design experience in mechanical engineering, such as CAD/CAM, machine design, mechatronics, materials, manufacturing, robotics, embedded systems, etc., and be able to demonstrate practical, hands-on experience. This position requires a strong passion for and commitment to working closely with undergraduate students.

How to Apply

Required documents include a cover letter; CV; a one-page statement of teaching interests including a description of teaching/advising experience and philosophy, and comments on any efforts to encourage diversity, inclusion and belonging, and names and contact information for at least three references. We encourage candidates to apply by April 15, 2021 but will continue to review applications until the position is filled. Applicants can apply online at: https://academicpositions.harvard.edu/postings/10094.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted

Postdoctoral Fellow in Motion Tracking, Wearable Sensors, Estimation, Machine Learning

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Materials Science & Mechanical Engineering
Description

The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on connected systems for tracking strength training exercises. The role will involve being part of a multidisciplinary team working on a connected fitness project using wearable sensors to estimate amount and quality of motions for upper and lower bodies during strength training. Experience with machine learning is a big plus. A candidate would be expected to work with the team of engineers and an exercise scientist to develop algorithms and help administering user testing.

Applicants should have a PhD degree in computer science, mechatronics, or biomechanics.

In addition, extensive experience using IMUs, signal processing, calibration and data fusion for motion tracking is required for this position.

Strong organizational, motivation, and communication skills are strongly preferred. A passion for sports, biomechanics and technology is also highly desired.

How to Apply

Application materials include an updated CV, a cover letter describing research interests and goals, a full list of publications, and up to three relevant scientific papers. Please submit the names and contact information for up to three references. Applicants can apply online at https://academicpositions.harvard.edu/postings/10115.

We strongly encourage applications from members of underrepresented groups.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted

Postdoctoral Fellowship in Electrical Engineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Electrical Engineering
Description

This position is for a Postdoctoral Scholar position. Applicants will broadly work on algorithmic fairness in healthcare under the supervision of Prof. Flavio Calmon at Harvard SEAS and Prof. Berk Ustun

at UCSD. There is flexibility to work on theory or method development related to topics like the fairness in personalization, the use of protected attributes. This is a joint appointment between UCSD and Harvard.

This is a joint postdoctoral fellowship at Harvard and UCSD with a lot of flexibility. You may choose to reside in Boston or San Diego, or split your time between the cities (e.g., spend the academic year in San Diego and the summers in Boston). The earliest start date is September 2021, though a later start is fine. The position is funded for two years, with a potential extension for a third year. The baseline salary for this position is 60k.

We will review applications starting on March 15, 2021. Applications will be accepted after this deadline until the position is filled. Please see application details in the following link: https://apolrecruit.ucsd.edu/JPF02646

About Us

Flavio Calmon is an Assistant Professor of Electrical Engineering at Harvard’s John A. Paulson School of Engineering and Applied Sciences. Before joining Harvard, he was the inaugural data science for social good post-doctoral fellow at IBM Research in Yorktown Heights, New York. He received his Ph.D. in Electrical Engineering and Computer Science at MIT. His main research interests are information theory, inference, and statistics, with applications to fairness, privacy, machine learning, and communications engineering. Prof. Calmon has received the NSF CAREER award, the Google Research Faculty Award, the Amazon Research Award, the IBM Open Collaborative Research Award, Harvard’s Lemann Brazil Research Fund Award, and a Harvard Commendation for “Extraordinary Teaching in Extraordinary Times” for his undergraduate signal processing course. For more information, please visit: http://people.seas.harvard.edu/~flavio/

Berk Ustun is an incoming Assistant Professor at the Halıcıoğlu Data Science Institute at UC San Diego. His research lies at the intersection of machine learning, optimization, and human-centered design.

Specifically, he is interested in developing methods to promote the adoption and responsible use of machine learning in medicine, consumer finance, and criminal justice. Prior to his appointment at UCSD, Ustun held research positions at Google AI and the Center for Research on Computation and Society at Harvard. He received a PhD in Electrical Engineering and Computer Science from MIT, an MS in Computation for Design and Optimization from MIT, and BS degrees in Operations Research and Economics from UC Berkeley. For more information, please visit https://www.berkustun.com.

Applicants must have a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, Data Science, Bioinformatics (or a related discipline) or be confident of its completion by the time of the start of this position.

Experience in machine learning, an interest in algorithmic fairness, and expertise in at least one of the following areas is preferred: optimization, statistics, causal inference, and information theory. Prior experience in healthcare is preferred, as is an ability to code in Python. Candidates with a commitment to support diversity, equity, and inclusion in an academic setting are welcome.

We are looking for applicants with demonstrably strong research skills, ideally, with publications in top venues in machine learning and data mining. Research experience in reinforcement learning and/or interpretable and fair ML is strongly preferred.

How to Apply

Required application documents include a current C.V. , Cover Letter, Statement of Research, and a minimum of two publications. In addition, please comment in your cover letter on past or potential contributions to diversity.

Candidates are also required to submit the names and contact information for at least three and up to five references. The application is complete only when three letters have been submitted.

We encourage candidates to apply by March 15, 2020, but will continue to review applications until the positions are filled. Applicants can apply online at https://academicpositions.harvard.edu/postings/10116.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted

Postdoctoral Fellow in Clinical Biomechanics and Wearable Robotics

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Materials Science & Mechanical Engineering
Description

The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on biomechanical, physiological, and clinical evaluations of wearable robotic devices developed to assist individuals with neurological disorders (e.g., stroke, multiple sclerosis, Parkinson’s disease, and cerebral palsy). These soft wearable robots are lightweight and pliable and apply appropriately timed joint torques to the wearer. The successful candidate will work as part of a larger team of engineers, apparel designers, movement scientists, and clinicians to conduct human subjects studies that will be used to advance the development of multiple wearable robot platforms and evaluate their ability to enhance neurorehabilitation. They will have access to state of the art equipment (Qualysis cameras, Bertec force plates in an over-ground walkway, a Bertec instrumented treadmill, Delsys Trigno surface electromyography system, and Cosmed K4b2 metabolic test system). The candidate will also be expected to contribute to the writing and running of IRB-approved studies on healthy and patient populations.

The candidate should have a strong interest in contributing to multidisciplinary teams and will be expected to publish scholarly papers and attend international conferences, as well as take on a mentorship role for undergraduate and graduate students.

A Ph.D. in Biomechanics, Kinesiology, Movement Science, Physiology, Biomedical Engineering or a related field.

A strong background in statistics, as well as previous experience in human subjects studies with wearable robots and working with neurological patient populations are highly desired. Additionally, having a PT background and being eligible for physical therapy licensure in the Commonwealth of Massachusetts would be a plus.

How to Apply

Application materials include an updated CV, a cover letter describing research interests and goals, a full list of publications, and up to three relevant scientific papers. Please submit the names and contact information for up to three references. Applicants can apply online at https://academicpositions.harvard.edu/postings/10113.

We strongly encourage applications from members of underrepresented groups.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

 

Posted

Postdoctoral Fellow in Environmental Science and Engineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Environmental Science & Engineering
Description

A postdoctoral position is available at Harvard to work on MethaneSAT (https://www.methanesat.org; launch 2022) in the near term. The research involves developing scientific and operational code for satellite data analysis.  The MethaneSAT work is to participate in the development of retrievals in the shortwave infrared for CH4 and other gases worldwide, and in the inversion of abundance determinations to obtain source strengths. It will include participation in airborne measurements by MethaneSAT’s testbed instrument MethaneAIR, used to develop the XCH4 algorithm for MethaneSAT before its launch. The research involves improving atmospheric spectral fitting, inversion, radiative transfer modeling, instrument calibration, and validation of measurements.

Basic Qualifications:

  1. Ph.D. in atmospheric science, meteorology, physics, or a related field.
  2. Strong background in remote sensing of atmospheric trace gases, spectroscopy, and radiative transfer modeling.
  3. Excellent programming skills (e.g., Fortran) and shell scripting under Unix/Linux environments, and extensive plotting and mapping capabilities are crucial.
  4. Excellent communication skills and good track record of writing scientific papers.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Application Materials:
• a cover letter
• a curriculum vitae
• one or two research papers

• two references

Contact Information: Steve Wofsy,  Xiong Liu, or Kelly Chance

Contact Email: swofsy@seas.harvard.edu, , xliu@cfa.harvard.edukchance@cfa.harvard.edu

Minimum Number of References Required: 2

Maximum Number of References Allowed: 5

Posted

Postdoctoral Position in Atmospheric Chemistry Modeling

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Environmental Science & Engineering
Description

A postdoctoral position is available in the Atmospheric Chemistry Modeling Group at Harvard University. Visit us at  http://acmg.seas.harvard.edu/ . The successful candidate will have the opportunity to work on a wide range of problems related to global atmospheric chemistry, air quality, inverse analyses of methane observations, and GEOS-Chem model development.  Applicants should have a Ph.D. in atmospheric chemistry and substantial experience in 3-D modeling.

How to Apply

To apply please email a curriculum vitae, contact information for three references, and 1- paragraph statement of interest to Prof. Daniel J. Jacob (  djacob@fas.harvard.edu ), School of Engineering and Applied Science, Harvard University.  

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Posted

Postdoctoral Fellow in Bioengineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Description

The Liu group at the School of Engineering and Applied Sciences (SEAS) at Harvard is looking for an exceptional and energetic postdoctoral fellow working on developing and applying imaging and genomic tools (e.g.,imaging-based single cell genomics and spatial-omics) to understand the complexity of biological systems.

This postdoctoral position will provide an exciting opportunity to develop new computational pipeline and analysis methods that integrate bioimaging with genomics/transcriptomics in a vibrant and interdisciplinary environment and collaborate with team members from diverse backgrounds (chemistry, biophysics, genomics and neuroscience, electrical engineering and computer science, and bioengineering).

Beyond our lab, this position will also offer collaboration opportunities with other experimental and computational teams (genomics, data science, machine learning) at the Broad  Institute, Cambridge, MA.  We emphasize research training and career development for all lab members, and the candidate will have the chance to interact with the broader community at Harvard, MIT, the Broad Institute and the Harvard-affiliated hospitals across Boston.

QUALIFICATIONS

  •  A PhD in Physics, Computer Science, Mathematics, Statistics, Engineering, or Biology with a very strong quantitative background
  •  Extensive programming/optimization experience in several of the following: Python, R, Matlab C/C++, JAVA, ImageJ, Unix, Linux
  • Strong mathematical or physical foundation
  •  Self-motivated, creative, persistent, responsible, good analytical and problem solving skills

PREFERRED EXPERTISE
Candidates with experience in ONE or MORE of the following areas will be given
priority:

  • Single-cell genomics/transcriptomics
  • Computer vision, statistical algorithms and machine learning: e.g., image registration, 2D/3D segmentation, object tracing, feature extraction and annotation
  • Bioimaging database and visualization: e.g., anatomy atlas building for model organisms or human, brain connectomics

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

 

 

How to Apply

Applicants should submit a cover letter stating the applicant’s motivation and include a CV and contact information of 3 references (names, e-mail addresses and phone numbers), 1-3 representative papers, and any listing of a public code repository (e.g. Github), to Prof. Jia Liu (jia_liu@seas.harvard.edu). Shortlisted candidates will be contacted for interviews.

Posted

Postdoctoral Research Fellow in Computer Vision

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Electrical Engineering
Description

Overview: Harvard University’s Assistive Technology Initiative has an immediate opening for an entrepreneurial research fellow to coordinate and lead a project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. The position will leverage expertise of the  Harvard Biorobotics Lab (http://biorobotics.harvard.edu/) in the area of real-time image processing (ultrasound, video, depth) used to assess human movement. The project will also be part of a collaboration with the Biodesign Lab (https://biodesign.seas.harvard.edu) applying these techniques to wearable and clinical assessment devices. The research fellow will work as part of a highly multidisciplinary team with backgrounds in engineering, biomechanics and rehabilitation science. The successful candidate will contribute to the development of new technology, evaluate the technology with human participants in state-of-the-art biomechanics facilities, and play a key role in setting the vision for commercial application.

Duties and responsibilities: The research fellow will be co-mentored by project faculty and staff leads to set the overall project direction and contribute technically to system development. They will work with a multidisciplinary team of graduate students, research physical therapists, and movement scientists to coordinate technical development, biomechanical and clinical testing, and planning for technology translation. Ideal candidates for this position will have strong experience or interest in team management, and excellent communication skills.

How to Apply

Qualifications:

  • PhD in computer science, electrical engineering, or a closely related field
  • Experience with computer vision and real-time image and signal processing
  • Excellent written communication skills
  • Strong interpersonal and collaborative skills
  • Strong interest in leading developing and translating to commercial application wearable sensing and rehabilitative technology

Additional information: Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

This position is for one year with a possibility for renewal of a second year. Applications should be assembled as a single PDF file, containing a complete resume, cover letter describing research interests and goals, a full list of publications, copies of up to three relevant scientific papers, as well as the names and contact information of three references who are able to provide letters of recommendation. Applications should be sent to:

Professor Robert D. Howe | howe@seas.harvard.edu

David Perry | dperry@seas.harvard.edu

Posted